Evidence map›Paper›PMID 41704540›Full record

ArticleHardwareX2026

PlatROB: An open-source, modular, and low-cost hardware platform for mobile robotics and AI education.

Jose Balbuena, Julio Sinche, Diego Quiroz, Diego Arce, Elizabeth Villota

Abstract read
In one paragraph

Article in HardwareX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 1 synthesis or guideline pooled it.

  1. Low-cost social robot designs for education: a review.Frontiers in robotics and AI · 2026
    Pooled it
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Jose BalbuenaDepartment of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, 15088 Lima, Peru.
Julio SincheDepartment of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, 15088 Lima, Peru.
Diego QuirozDepartment of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, 15088 Lima, Peru.
Diego ArceDepartment of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, 15088 Lima, Peru.
Elizabeth VillotaDepartment of Engineering, Pontificia Universidad Católica del Perú, Av. Universitaria 1801, San Miguel, 15088 Lima, Peru.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This paper introduces PlatROB, an open-source, modular, and low-cost educational robotics platform designed to facilitate hands-on learning in robotics and AI through system integration. PlatROB comprises four 3D-printable, classroom-ready modules: an Ackermann Drive Module (ADM), an Omnidirectional/Differential Drive Module (ODM/DDM), a Control and Processing Module (CPM) with NVIDIA Jetson Nano, and a 4-DoF Articulated Manipulation Module (AMM). Inter-module communication uses standardized I2C over DB9 connectors, integrating Arduino microcontrollers, motor drivers, encoders, IMUs, and ultrasonic sensors. Module costs range from $129 to $341. Performance validation shows the ADM supports 10 kg payload, achieves 25 cm turning radius and has 120 min autonomy (3 kg load), while the CPM sustains 40-100 min operation depending on neural-network workloads. The AMM provides 450 g payload capacity for introductory manipulation tasks. Successfully deployed in workshops and university courses with over 160 learners, demonstrating significant learning gains (p < 0.05) across academic levels and enabling teleoperation and autonomous navigation projects. All mechanical and electronic design files, build manuals, and validation code are open-source to support replication in resource-constrained settings. By providing a scalable, documented hardware-software stack compatible with ROS/ROS2, PlatROB lowers barriers to experiential learning in SLAM, perception, and advanced autonomy.

Indexed as

Educational evaluationLocomotion ConfigurationLow-cost designMobile robotModular platformOpen-source robotics platform

Identifiers

PMID41704540
PMCPMC12908077

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.